A. Murli

1.4k total citations
61 papers, 828 citations indexed

About

A. Murli is a scholar working on Computer Networks and Communications, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, A. Murli has authored 61 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Mathematical Physics and 10 papers in Computational Theory and Mathematics. Recurrent topics in A. Murli's work include Numerical methods in inverse problems (10 papers), Distributed and Parallel Computing Systems (10 papers) and Meteorological Phenomena and Simulations (8 papers). A. Murli is often cited by papers focused on Numerical methods in inverse problems (10 papers), Distributed and Parallel Computing Systems (10 papers) and Meteorological Phenomena and Simulations (8 papers). A. Murli collaborates with scholars based in Italy, United States and France. A. Murli's co-authors include Luisa D’Amore, Giuliano Laccetti, Gianni Di Pillo, Annalisa Buffa, Stefania Corsaro, Franco Brezzi, Giulio Giunta, Rossella Arcucci, J. N. Lyness and B. S. Garbow and has published in prestigious journals such as Journal of Computational Physics, Environmental Modelling & Software and Future Generation Computer Systems.

In The Last Decade

A. Murli

54 papers receiving 787 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Murli Italy 17 198 182 177 105 92 61 828
Markus Hegland Australia 17 221 1.1× 81 0.4× 199 1.1× 37 0.4× 76 0.8× 103 991
Francesco Zirilli Italy 16 141 0.7× 117 0.6× 137 0.8× 42 0.4× 61 0.7× 118 1.1k
Guergana Petrova United States 14 467 2.4× 150 0.8× 124 0.7× 44 0.4× 68 0.7× 39 939
Alan Cline United States 12 266 1.3× 145 0.8× 201 1.1× 32 0.3× 68 0.7× 22 884
Craig C. Douglas United States 17 391 2.0× 107 0.6× 275 1.6× 80 0.8× 89 1.0× 86 1.1k
Laurent Hascoët France 10 264 1.3× 130 0.7× 190 1.1× 110 1.0× 21 0.2× 36 840
Jean Utke United States 11 167 0.8× 227 1.2× 254 1.4× 133 1.3× 27 0.3× 32 960
R. H. Hardin United States 11 151 0.8× 181 1.0× 153 0.9× 93 0.9× 21 0.2× 18 1.5k
Angelika Bunse‐Gerstner Germany 21 158 0.8× 463 2.5× 702 4.0× 78 0.7× 33 0.4× 44 1.4k
Alexander Vladimirsky United States 12 358 1.8× 93 0.5× 108 0.6× 27 0.3× 49 0.5× 28 1.0k

Countries citing papers authored by A. Murli

Since Specialization
Citations

This map shows the geographic impact of A. Murli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Murli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Murli more than expected).

Fields of papers citing papers by A. Murli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Murli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Murli. The network helps show where A. Murli may publish in the future.

Co-authorship network of co-authors of A. Murli

This figure shows the co-authorship network connecting the top 25 collaborators of A. Murli. A scholar is included among the top collaborators of A. Murli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Murli. A. Murli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arcucci, Rossella, et al.. (2013). Data Assimilation Achievements in HPC sysyems: experiments on OceanVar in the Mediterranean Sea.
2.
D’Amore, Luisa, et al.. (2013). DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System. Procedia Computer Science. 18. 1235–1244. 9 indexed citations
3.
D’Amore, Luisa, et al.. (2012). OceanVAR software for use with NEMO: documentation and test guide.. 1 indexed citations
4.
D’Amore, Luisa, et al.. (2012). A smoothing spline that approximates Laplace transform functions only known on measurements on the real axis. Inverse Problems. 28(2). 25007–25007. 16 indexed citations
5.
D’Amore, Luisa, Rossella Arcucci, Livia Marcellino, et al.. (2011). A Parallel Three-dimensional Variational Data Assimilation Scheme. AIP conference proceedings. 1829–1831. 13 indexed citations
6.
Murli, A., et al.. (2008). High performance edge-preserving regularization in 3D SPECT imaging. Parallel Computing. 34(2). 115–132. 8 indexed citations
7.
Sgallari, Fiorella, et al.. (2007). Scale space and variational methods in computer vision : First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007 : proceedings. Springer eBooks. 1 indexed citations
8.
Cuomo, Salvatore, Luisa D’Amore, & A. Murli. (2007). Error analysis of a Collocation method for numerically inverting a Laplace transform in case of real samples. Journal of Computational and Applied Mathematics. 210(1-2). 149–158. 5 indexed citations
9.
D’Amore, Luisa, Livia Marcellino, & A. Murli. (2006). Image sequence inpainting: Towards numerical software for detection and removal of local missing data via motion estimation. Journal of Computational and Applied Mathematics. 198(2). 396–413. 4 indexed citations
10.
D’Amore, Luisa, et al.. (2006). An efficient algorithm for regularization of Laplace transform inversion in real case. Journal of Computational and Applied Mathematics. 210(1-2). 84–98. 11 indexed citations
11.
Cuomo, Salvatore, et al.. (2006). Computation of the inverse Laplace transform based on a collocation method which uses only real values. Journal of Computational and Applied Mathematics. 198(1). 98–115. 22 indexed citations
12.
Aloisio, Giovanni, Vincent Breton, Maria Mirto, A. Murli, & Tony Solomonides. (2006). Special section: Life science grids for biomedicine and bioinformatics. Future Generation Computer Systems. 23(3). 367–370. 8 indexed citations
13.
D’Amore, Luisa, Giuliano Laccetti, & A. Murli. (1999). An implementation of a Fourier series method for the numerical inversion of the Laplace transform. ACM Transactions on Mathematical Software. 25(3). 279–305. 51 indexed citations
14.
Murli, A., et al.. (1995). An analysis of bilinear transform polynomial methods of inversion of Laplace transforms. Numerische Mathematik. 69(3). 269–282. 7 indexed citations
15.
Murli, A. & Paul Messina. (1992). Parallel Computing: Problems, Methods and Applications. Elsevier eBooks. 10 indexed citations
16.
Messina, Paul & A. Murli. (1991). Practical parallel computing : status and prospects. J. Wiley eBooks.
17.
Garbow, B. S., Giulio Giunta, J. N. Lyness, & A. Murli. (1988). Software for an implementation of Weeks' method for the inverse Laplace transform. ACM Transactions on Mathematical Software. 14(2). 163–170. 50 indexed citations
18.
Giunta, Giulio, J. N. Lyness, & A. Murli. (1984). Implementation of Weeks' method for the inverse Laplace transform problem. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
19.
D’Alessio, Antonio, et al.. (1983). Numerical models for the simulation of currents in naples gulf. Mathematics and Computers in Simulation. 25(5). 436–451. 1 indexed citations
20.
Murli, A., et al.. (1982). Use of fast direct methods for mildly nonlinear elliptic difference equations. CALCOLO. 19(4). 365–378. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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